Daily Tasks Fine Tuned LLaMA 3.2 1B – Weekly & Daily Task Planner

Model Description

This is a fine-tuned LLaMA 3.2 1B model designed to generate structured weekly and daily plans. It can produce:

Workout routines
Study schedules
Meal plans
Other daily task setups

Fine-tuning was done using PEFT LoRA with float16 precision for efficient training on GPU.

Intended Use

This model is intended for personal productivity, fitness planning, and educational scheduling. It is not meant for medical, legal, or critical decision-making.

Usage

from transformers import pipeline, AutoTokenizer, AutoModelForCausalLM

model_name = "your-username/daily_tasks_fine_tuned_llama3_2_1b"

tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

generator = pipeline(
    "text-generation",
    model=model,
    tokenizer=tokenizer,
    device=0  # Use -1 for CPU
)

prompt = "Plan a 7-day workout routine for cardiovascular health."
output = generator(prompt, max_new_tokens=600)
print(output[0]['generated_text'])